{"title":"基于真实砂体连通性的井数据生成分层油藏地质模型的工作流程","authors":"D. Walsh, T. Manzocchi","doi":"10.3997/2214-4609.201902238","DOIUrl":null,"url":null,"abstract":"Summary Conventional geostatistical modelling methods are unable to reproduce the low connectivity typical of deep marine turbidite reservoirs at high net:gross ratios, because the connectivity of these geomodels is inevitably controlled by their net:gross ratio. Previous studies have developed modelling methods that can honour independently both the low connectivity and high net:gross ratios of these systems at different hierarchical scales, however they are unable to honour available well data. We present a new workflow for building reservoir geomodels conditioned to well data, with realistic levels of sand connectivity and hierarchical stacking.","PeriodicalId":186806,"journal":{"name":"Petroleum Geostatistics 2019","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Workflow for Generating Hierarchical Reservoir Geomodels Conditioned to Well Data with Realistic Sand Connectivity\",\"authors\":\"D. Walsh, T. Manzocchi\",\"doi\":\"10.3997/2214-4609.201902238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary Conventional geostatistical modelling methods are unable to reproduce the low connectivity typical of deep marine turbidite reservoirs at high net:gross ratios, because the connectivity of these geomodels is inevitably controlled by their net:gross ratio. Previous studies have developed modelling methods that can honour independently both the low connectivity and high net:gross ratios of these systems at different hierarchical scales, however they are unable to honour available well data. We present a new workflow for building reservoir geomodels conditioned to well data, with realistic levels of sand connectivity and hierarchical stacking.\",\"PeriodicalId\":186806,\"journal\":{\"name\":\"Petroleum Geostatistics 2019\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Petroleum Geostatistics 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3997/2214-4609.201902238\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Petroleum Geostatistics 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3997/2214-4609.201902238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Workflow for Generating Hierarchical Reservoir Geomodels Conditioned to Well Data with Realistic Sand Connectivity
Summary Conventional geostatistical modelling methods are unable to reproduce the low connectivity typical of deep marine turbidite reservoirs at high net:gross ratios, because the connectivity of these geomodels is inevitably controlled by their net:gross ratio. Previous studies have developed modelling methods that can honour independently both the low connectivity and high net:gross ratios of these systems at different hierarchical scales, however they are unable to honour available well data. We present a new workflow for building reservoir geomodels conditioned to well data, with realistic levels of sand connectivity and hierarchical stacking.
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